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Synopsis
The constantly evolving healthcare industry has experienced tremendous technological advancements that have significantly revolutionized medical imaging. However, with the increasing volume and complexity of medical image data, existing analysis methods must also be updated to be efficient and accurate. This is where the challenge lies-a need for a comprehensive solution that bridges the gap between cutting-edge technology and effective healthcare delivery. Computer-Assisted Analysis for Digital Medicinal Imagery offers a roadmap for navigating the intricate landscape of digital medicinal imagery analysis. Unlocking the power of machine learning and breaking down the basics provides researchers, clinicians, and students with the tools necessary to harness technology and improve healthcare outcomes.
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About the Authors
Pranshu Saxena received the B. E. in (2010), M. Tech. (2013), and PhD in 2023. He is currently an Assistant Professor in the Department of Information Technology at the ABES Engineering College, Ghaziabad, India. He has published 22 research articles which include 4-SCI, 6-Scopus, and 12 peer-review journals/conferences. His research interests include medical image processing, automated image segmentation, Image texture analysis, intelligent systems and Pattern Classification. He has been a designated reviewer (ISIEA 2012-2013, IJERT) and committee member (IJACR) for many international conferences and journals in image processing and medical imaging. He has published one book published by LAP Lambert Academic Publishing, USA.
Dr. Sanjay Kumar Singh is currently working as an assistant professor in university school of automation and Robotics, Guru Gobind Singh Indraprastha University, East Delhi campus, Delhi. He has more than 12 years of experience in teaching and received integrated post graduate (B. Tech + M. Tech) degree from ABV-Indian Institute of Information Technology & Management, Gwalior and Ph. D. degree from IKG-Punjab Technical University. He has published more than 50 papers in reputed journals and international conferences. His area of research in the field of machine learning, deep learning, soft computing and intelligent systems.
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Computer-assisted Analysis for Digital Medicinal Imagery
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Computer-Assisted Analysis for Digital Medicinal Imagery (Hardcover)
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Hardcover. Condition: new. Hardcover. The constantly evolving healthcare industry has experienced tremendous technological advancements that have significantly revolutionized medical imaging. However, with the increasing volume and complexity of medical image data, existing analysis methods must also be updated to be efficient and accurate. This is where the challenge liesa need for a comprehensive solution that bridges the gap between cutting-edge technology and effective healthcare delivery. Computer-Assisted Analysis for Digital Medicinal Imagery offers a roadmap for navigating the intricate landscape of digital medicinal imagery analysis. Unlocking the power of machine learning and breaking down the basics provides researchers, clinicians, and students with the tools necessary to harness technology and improve healthcare outcomes. This book takes a holistic approach to tackling the challenges of digital medicinal imagery analysis, covering practical topics such as imaging modalities, machine learning applications, and emerging technologies. By equipping readers with the knowledge and tools needed to overcome these obstacles, it lays the foundation for a future where healthcare delivery is not just efficient, but transformative. Offers a roadmap for navigating the intricate landscape of digital medicinal imagery analysis. This book takes a holistic approach to tackling the challenges of digital medicinal imagery analysis, covering practical topics such as imaging modalities, machine learning applications, and emerging technologies. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798369352267
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Computer-Assisted Analysis for Digital Medicinal Imagery (Hardcover)
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Hardcover. Condition: new. Hardcover. The constantly evolving healthcare industry has experienced tremendous technological advancements that have significantly revolutionized medical imaging. However, with the increasing volume and complexity of medical image data, existing analysis methods must also be updated to be efficient and accurate. This is where the challenge liesa need for a comprehensive solution that bridges the gap between cutting-edge technology and effective healthcare delivery. Computer-Assisted Analysis for Digital Medicinal Imagery offers a roadmap for navigating the intricate landscape of digital medicinal imagery analysis. Unlocking the power of machine learning and breaking down the basics provides researchers, clinicians, and students with the tools necessary to harness technology and improve healthcare outcomes. This book takes a holistic approach to tackling the challenges of digital medicinal imagery analysis, covering practical topics such as imaging modalities, machine learning applications, and emerging technologies. By equipping readers with the knowledge and tools needed to overcome these obstacles, it lays the foundation for a future where healthcare delivery is not just efficient, but transformative. Offers a roadmap for navigating the intricate landscape of digital medicinal imagery analysis. This book takes a holistic approach to tackling the challenges of digital medicinal imagery analysis, covering practical topics such as imaging modalities, machine learning applications, and emerging technologies. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798369352267
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Computer-Assisted Analysis for Digital Medicinal Imagery (Hardcover)
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Hardcover. Condition: new. Hardcover. The constantly evolving healthcare industry has experienced tremendous technological advancements that have significantly revolutionized medical imaging. However, with the increasing volume and complexity of medical image data, existing analysis methods must also be updated to be efficient and accurate. This is where the challenge liesa need for a comprehensive solution that bridges the gap between cutting-edge technology and effective healthcare delivery. Computer-Assisted Analysis for Digital Medicinal Imagery offers a roadmap for navigating the intricate landscape of digital medicinal imagery analysis. Unlocking the power of machine learning and breaking down the basics provides researchers, clinicians, and students with the tools necessary to harness technology and improve healthcare outcomes. This book takes a holistic approach to tackling the challenges of digital medicinal imagery analysis, covering practical topics such as imaging modalities, machine learning applications, and emerging technologies. By equipping readers with the knowledge and tools needed to overcome these obstacles, it lays the foundation for a future where healthcare delivery is not just efficient, but transformative. Offers a roadmap for navigating the intricate landscape of digital medicinal imagery analysis. This book takes a holistic approach to tackling the challenges of digital medicinal imagery analysis, covering practical topics such as imaging modalities, machine learning applications, and emerging technologies. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9798369352267
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